2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

6-13 Nov. 2011

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Displaying Results 1 - 25 of 328
  • WS01: The second IEEE international workshop on mobile vision

    Publication Year: 2011, Page(s):i - ii
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  • WS03: First IEEE workshop on modeling, simulation and visual analysis of large crowds

    Publication Year: 2011, Page(s): iv
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  • WS04: 1st IEEE/ISPRS workshop on computer vision for remote sensing of the environment

    Publication Year: 2011, Page(s): v
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  • WS05: OMNIVIS 2011: IEEE workshop on omni-directional vision, camera networks and non-classical cameras

    Publication Year: 2011, Page(s):vi - vii
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  • WS06: 6th IEEE workshop on human computer interaction: Real-time vision aspects of natural user interfaces

    Publication Year: 2011, Page(s):viii - ix
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  • WS07: Third workshop on GPUs for computer vision

    Publication Year: 2011, Page(s): x
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  • WS08: Workshop on 3D representation and recognition (3dRR-11)

    Publication Year: 2011, Page(s):xi - xii
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  • WS09: SIG-11: Second international workshop on stochastic image grammars

    Publication Year: 2011, Page(s): xiii
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  • WS10: ICCV2011 workshop “live dense reconstruction with moving cameras”

    Publication Year: 2011, Page(s):xiv - xv
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  • WS11: 3rd IEEE workshop on color and photometry in computer vision

    Publication Year: 2011, Page(s): xvi
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  • WS12: 2nd international workshop on SOCIALLY INTELLIGENT SURVEILLANCE and MONITORING, SISM 2011

    Publication Year: 2011, Page(s): xvii
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  • WS13: 2nd IEEE workshop on analysis and retrieval of tracked events and motion in imagery streams

    Publication Year: 2011, Page(s): xviii
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  • WS14: Challenges and opportunities in robot perception

    Publication Year: 2011, Page(s):xix - xx
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  • WS15: 1st IEEE workshop on consumer depth cameras for computer vision

    Publication Year: 2011, Page(s):xxi - xxii
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  • WS16a: Human interaction in computer vision

    Publication Year: 2011, Page(s): xxiii
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  • WS16b: 1st IEEE workshop on performance evaluation on recognition of human actions and pose estimation methods

    Publication Year: 2011, Page(s): xxiv
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  • WS17: 1st IEEE workshop in information theory in computer vision and pattern recognition

    Publication Year: 2011, Page(s):xxv - xxvi
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  • WS18: VECTaR 2011: Workshop program

    Publication Year: 2011, Page(s):xxvii - xxix
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  • WS20: 4DMOD workshop on “dynamic shape capture and analysis”

    Publication Year: 2011, Page(s): xxx
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  • WS22: The eleventh IEEE international workshop on visual surveillance

    Publication Year: 2011, Page(s): xxxii
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  • WS23: Computer vision in vehicle technology: From earth to mars (CVVT2011)

    Publication Year: 2011, Page(s):xxxiii - xxxiv
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  • WS24: Benchmarking facial image analysis technologies

    Publication Year: 2011, Page(s):xxxv - xxxvi
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  • Stabilizing cell phone video using inertial measurement sensors

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (24)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1187 KB) | HTML iconHTML

    We present a system that rectifies and stabilizes video sequences on mobile devices with rolling-shutter cameras. The system corrects for rolling-shutter distortions using measurements from accelerometer and gyroscope sensors, and a 3D rotational distortion model. In order to obtain a stabilized video, and at the same time keep most content in view, we propose an adaptive low-pass filter algorithm... View full abstract»

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  • High-quality video denoising for motion-based exposure control

    Publication Year: 2011, Page(s):9 - 16
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1700 KB) | HTML iconHTML

    New digital cameras, such as Canon SD1100 and Nikon COOLPIX S8100, have an Auto Exposure (AE) function that is based on motion estimation. The motion estimation helps to set short exposure and high ISO for frames with fast motion, thereby minimizing most motion blur in recorded videos. This AE function largely turns video enhancement into a denoising problem. This paper studies the problem of how ... View full abstract»

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  • Structure and motion estimation from rolling shutter video

    Publication Year: 2011, Page(s):17 - 23
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2143 KB) | HTML iconHTML

    The majority of consumer quality cameras sold today have CMOS sensors with rolling shutters. In a rolling-shutter camera, images are read out row by row, and thus each row is exposed during a different time interval. A rolling-shutter exposure causes geometric image distortions when either the camera or the scene is moving, and this causes state-of-the-art structure and motion algorithms to fail. ... View full abstract»

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